jsd_discrete: Estimate JSD for discrete variables

In jsdtools: Jensen-Shannon Divergence Estimation, Confidence Intervals, and Distribution Plots

Estimate JSD for discrete variables

Description

Computes Jensen-Shannon divergence (JSD) between two discrete variables using empirical probability mass functions.

Usage

jsd_discrete(
  x,
  y,
  support = NULL,
  base = 2,
  eps = 1e-12,
  add_smoothing = FALSE,
  na_rm = TRUE
)

Arguments

x	Vector for group 1. Can be numeric, factor, character, or logical.
y	Vector for group 2. Can be numeric, factor, character, or logical.
support	Optional support values. If 'NULL', the union of observed values in 'x' and 'y' is used.
base	Logarithm base. Defaults to 2. Use 'exp(1)' for nats.
eps	Small constant for numerical stability.
add_smoothing	Logical; add 1 to each cell count?
na_rm	Logical; remove missing values?

Value

An object of class '"jsd_estimate"'.

jsdtools documentation built on March 31, 2026, 1:06 a.m.